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Peter J. Mucha
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2020 – today
- 2024
- [j37]Jeremy Kazimer, Manlio De Domenico, Peter J. Mucha, Dane Taylor:
Ranking Edges by Their Impact on the Spectral Complexity of Information Diffusion over Networks. Multiscale Model. Simul. 22(3): 925-955 (2024) - [j36]Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting:
An Escape Time Formulation for Subgraph Detection and Partitioning of Directed Graphs. SIAM J. Matrix Anal. Appl. 45(1): 685-711 (2024) - [i43]Xie He, Amir Ghasemian, Eun Lee, Alice Schwarze, Aaron Clauset, Peter J. Mucha:
Link Prediction Accuracy on Real-World Networks Under Non-Uniform Missing Edge Patterns. CoRR abs/2401.15140 (2024) - [i42]Zachary M. Boyd, Nicolas Fraiman, Jeremy L. Marzuola, Peter J. Mucha, Braxton Osting:
Targeting influence in a harmonic opinion model. CoRR abs/2407.00213 (2024) - 2023
- [i41]Naoki Masuda, Zachary M. Boyd, Diego Garlaschelli, Peter J. Mucha:
Correlation networks: Interdisciplinary approaches beyond thresholding. CoRR abs/2311.09536 (2023) - 2022
- [j35]Samuel Heroy, Dane Taylor, Feng Shi, M. Gregory Forest, Peter J. Mucha:
Rigidity Percolation in Disordered 3D Rod Systems. Multiscale Model. Simul. 20(1): 250-281 (2022) - [j34]Dane Taylor, Mason A. Porter, Peter J. Mucha:
Erratum: Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks. Multiscale Model. Simul. 20(3): 1167 (2022) - [c8]Diego F. M. Oliveira, Kevin S. Chan, Peter J. Mucha:
The Effects of Message Sorting in the Diffusion of Information in Online Social Media. COMPLEX NETWORKS (1) 2022: 98-107 - [i40]Saray Shai, Isaac Jacobs, Peter J. Mucha:
One Node at a Time: Node-Level Network Classification. CoRR abs/2208.02162 (2022) - [i39]Jeremy Kazimer, Manlio De Domenico, Peter J. Mucha, Dane Taylor:
Ranking Edges by their Impact on the Spectral Complexity of Information Diffusion over Networks. CoRR abs/2210.15148 (2022) - [i38]Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting:
Escape times for subgraph detection and graph partitioning. CoRR abs/2212.12839 (2022) - 2021
- [j33]Dane Taylor, Mason A. Porter, Peter J. Mucha:
Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks. Multiscale Model. Simul. 19(1): 113-147 (2021) - [j32]Muhammad Usman Sadiq, Stephanie Langella, Kelly S. Giovanello, Peter J. Mucha, Eran Dayan:
Accrual of functional redundancy along the lifespan and its effects on cognition. NeuroImage 229: 117737 (2021) - [j31]Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting, Jonathan Weare:
A Metric on Directed Graphs and Markov Chains Based on Hitting Probabilities. SIAM J. Math. Data Sci. 3(2): 467-493 (2021) - [c7]Saray Shai, Isaac Jacobs, Peter J. Mucha:
One Node at a Time: Node-Level Network Classification. ICMLA 2021: 922-929 - 2020
- [j30]Philip S. Chodrow, Peter J. Mucha:
Local Symmetry and Global Structure in Adaptive Voter Models. SIAM J. Appl. Math. 80(1): 620-638 (2020) - [j29]William H. Weir, Benjamin Walker, Lenka Zdeborová, Peter J. Mucha:
Multilayer Modularity Belief Propagation to Assess Detectability of Community Structure. SIAM J. Math. Data Sci. 2(3): 872-900 (2020) - [i37]Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting, Jonathan Weare:
A metric on directed graphs and Markov chains based on hitting probabilities. CoRR abs/2006.14482 (2020)
2010 – 2019
- 2019
- [j28]Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha:
Stochastic block models with multiple continuous attributes. Appl. Netw. Sci. 4(1): 54:1-54:22 (2019) - [j27]Ian Barnett, Nishant Malik, Marieke L. Kuijjer, Peter J. Mucha, Jukka-Pekka Onnela:
EndNote: Feature-based classification of networks. Netw. Sci. 7(3): 438-444 (2019) - [i36]Dane Taylor, Mason A. Porter, Peter J. Mucha:
Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks. CoRR abs/1904.02059 (2019) - [i35]Dane Taylor, Mason A. Porter, Peter J. Mucha:
Supracentrality Analysis of Temporal Networks with Directed Interlayer Coupling. CoRR abs/1906.06366 (2019) - [i34]William H. Weir, Benjamin Walker, Lenka Zdeborová, Peter J. Mucha:
Modularity belief propagation on multilayer networks to detect significant community structure. CoRR abs/1908.04653 (2019) - 2018
- [j26]Hsuan-Wei Lee, Nishant Malik, Peter J. Mucha:
Evolutionary prisoner's dilemma games coevolving on adaptive networks. J. Complex Networks 6(1): 1-23 (2018) - [j25]Samuel Heroy, Dane Taylor, F. Bill Shi, M. Gregory Forest, Peter J. Mucha:
Rigid Graph Compression: Motif-Based Rigidity Analysis for Disordered Fiber Networks. Multiscale Model. Simul. 16(3): 1283-1304 (2018) - [j24]Zichao Li, Peter J. Mucha, Dane Taylor:
Network-Ensemble Comparisons with Stochastic Rewiring and Von Neumann Entropy. SIAM J. Appl. Math. 78(2): 897-920 (2018) - [c6]Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen:
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns. MICCAI (3) 2018: 136-144 - [i33]Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha:
Stochastic Block Models with Multiple Continuous Attributes. CoRR abs/1803.02726 (2018) - [i32]Natalie Stanley, Marc Niethammer, Peter J. Mucha:
Testing Alignment of Node Attributes with Network Structure Through Label Propagation. CoRR abs/1805.07375 (2018) - [i31]Weihua Li, Skyler J. Cranmer, Zhiming Zheng, Peter J. Mucha:
Infectivity Enhances Prediction of Viral Cascades in Twitter. CoRR abs/1809.04104 (2018) - [i30]Scott Emmons, Peter J. Mucha:
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection. CoRR abs/1810.10433 (2018) - [i29]Philip S. Chodrow, Peter J. Mucha:
Local Symmetry and Global Structure in Adaptive Voter Models. CoRR abs/1812.05464 (2018) - 2017
- [j23]William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J. Mucha:
Post-Processing Partitions to Identify Domains of Modularity Optimization. Algorithms 10(3): 93 (2017) - [j22]Jay Aikat, Thomas M. Carsey, Karamarie Fecho, Kevin Jeffay, Ashok Kumar Krishnamurthy, Peter J. Mucha, Arcot Rajasekar, Stanley C. Ahalt:
Scientific Training in the Era of Big Data: A New Pedagogy for Graduate Education. Big Data 5(1): 12-18 (2017) - [j21]Hsuan-Wei Lee, Nishant Malik, Peter J. Mucha:
Erratum to "Evolutionary prisoner's dilemma games coevolving on adaptive network". J. Complex Networks 5(6): 964 (2017) - [j20]Dane Taylor, Sean A. Myers, Aaron Clauset, Mason A. Porter, Peter J. Mucha:
Eigenvector-Based Centrality Measures for Temporal Networks. Multiscale Model. Simul. 15(1): 537-574 (2017) - [j19]Lucas G. S. Jeub, Michael W. Mahoney, Peter J. Mucha, Mason A. Porter:
A local perspective on community structure in multilayer networks. Netw. Sci. 5(2): 144-163 (2017) - [j18]M. Puck Rombach, Mason A. Porter, James H. Fowler, Peter J. Mucha:
Core-Periphery Structure in Networks (Revisited). SIAM Rev. 59(3): 619-646 (2017) - [i28]Hsuan-Wei Lee, Nishant Malik, Peter J. Mucha:
Evolutionary prisoner's dilemma games coevolving on adaptive networks. CoRR abs/1702.05119 (2017) - [i27]Zichao Li, Peter J. Mucha, Dane Taylor:
Network-ensemble comparisons with stochastic rewiring and von Neumann entropy. CoRR abs/1704.01053 (2017) - [i26]Saray Shai, Natalie Stanley, Clara Granell, Dane Taylor, Peter J. Mucha:
Case studies in network community detection. CoRR abs/1705.02305 (2017) - [i25]William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J. Mucha:
Post-processing partitions to identify domains of modularity optimization. CoRR abs/1706.03675 (2017) - [i24]Natalie Stanley, Roland Kwitt, Marc Niethammer, Peter J. Mucha:
Compressing networks with super nodes. CoRR abs/1706.04110 (2017) - [i23]Hsuan-Wei Lee, Nishant Malik, Feng Shi, Peter J. Mucha:
Social Clustering in Epidemic Spread on Coevolving Networks. CoRR abs/1707.04933 (2017) - 2016
- [j17]Natalie Stanley, Saray Shai, Dane Taylor, Peter J. Mucha:
Clustering Network Layers with the Strata Multilayer Stochastic Block Model. IEEE Trans. Netw. Sci. Eng. 3(2): 95-105 (2016) - [i22]Dane Taylor, Rajmonda Sulo Caceres, Peter J. Mucha:
Detectability of small communities in multilayer and temporal networks: Eigenvector localization, layer aggregation, and time series discretization. CoRR abs/1609.04376 (2016) - [i21]Ian Barnett, Nishant Malik, Marieke L. Kuijjer, Peter J. Mucha, Jukka-Pekka Onnela:
Feature-Based Classification of Networks. CoRR abs/1610.05868 (2016) - 2015
- [i20]Dane Taylor, Sean A. Myers, Aaron Clauset, Mason A. Porter, Peter J. Mucha:
Eigenvector-Based Centrality Measures for Temporal Networks. CoRR abs/1507.01266 (2015) - [i19]Natalie Stanley, Saray Shai, Dane Taylor, Peter J. Mucha:
Clustering Network Layers With the Strata Multilayer Stochastic Block Model. CoRR abs/1507.01826 (2015) - [i18]Lucas G. S. Jeub, Michael W. Mahoney, Peter J. Mucha, Mason A. Porter:
A Local Perspective on Community Structure in Multilayer Networks. CoRR abs/1510.05185 (2015) - [i17]Dane Taylor, Saray Shai, Natalie Stanley, Peter J. Mucha:
Enhanced detectability of community structure in multilayer networks through layer aggregation. CoRR abs/1511.05271 (2015) - 2014
- [j16]Curtis Lee, John Dolbow, Peter J. Mucha:
A narrow-band gradient-augmented level set method for multiphase incompressible flow. J. Comput. Phys. 273: 12-37 (2014) - [j15]Feng Shi, Simi Wang, M. Gregory Forest, Peter J. Mucha, Ruhai Zhou:
Network-Based Assessments of Percolation-Induced Current Distributions in Sheared Rod Macromolecular Dispersions. Multiscale Model. Simul. 12(1): 249-264 (2014) - [j14]Florian Klimm, Danielle S. Bassett, Jean M. Carlson, Peter J. Mucha:
Resolving Structural Variability in Network Models and the Brain. PLoS Comput. Biol. 10(3) (2014) - [j13]M. Puck Rombach, Mason A. Porter, James H. Fowler, Peter J. Mucha:
Core-Periphery Structure in Networks. SIAM J. Appl. Math. 74(1): 167-190 (2014) - [i16]Skyler J. Cranmer, Elizabeth J. Menninga, Peter J. Mucha:
Kantian fractionalization predicts the conflict propensity of the international system. CoRR abs/1402.0126 (2014) - [i15]Lucas G. S. Jeub, Prakash Balachandran, Mason A. Porter, Peter J. Mucha, Michael W. Mahoney:
Think Locally, Act Locally: The Detection of Small, Medium-Sized, and Large Communities in Large Networks. CoRR abs/1403.3795 (2014) - [i14]Dane Taylor, Florian Klimm, Heather A. Harrington, Miroslav Kramár, Konstantin Mischaikow, Mason A. Porter, Peter J. Mucha:
Complex contagions on noisy geometric networks. CoRR abs/1408.1168 (2014) - 2013
- [j12]Alexander V. Mantzaris, Danielle S. Bassett, Nicholas F. Wymbs, Ernesto Estrada, Mason A. Porter, Peter J. Mucha, Scott T. Grafton, Desmond J. Higham:
Dynamic network centrality summarizes learning in the human brain. J. Complex Networks 1(1): 83-92 (2013) - [j11]Feng Shi, Simi Wang, M. Gregory Forest, Peter J. Mucha:
Percolation-Induced Exponential Scaling in the Large Current Tails of Random Resistor Networks. Multiscale Model. Simul. 11(4): 1298-1310 (2013) - [j10]James Moody, Peter J. Mucha:
Portrait of Political Party Polarization. Netw. Sci. 1(1): 119-121 (2013) - [j9]James Moody, Peter J. Mucha:
Portrait of Political Party Polarization - ERRATUM. Netw. Sci. 1(2): 251 (2013) - [j8]Danielle S. Bassett, Nicholas F. Wymbs, M. Puck Rombach, Mason A. Porter, Peter J. Mucha, Scott T. Grafton:
Task-Based Core-Periphery Organization of Human Brain Dynamics. PLoS Comput. Biol. 9(9) (2013) - [i13]Feng Shi, Peter J. Mucha, Rick Durrett:
A multi-opinion evolving voter model with infinitely many phase transitions. CoRR abs/1303.7434 (2013) - [i12]James D. Wilson, Simi Wang, Peter J. Mucha, Shankar Bhamidi, Andrew B. Nobel:
A Testing Based Extraction Algorithm for Identifying Significant Communities in Networks. CoRR abs/1308.0777 (2013) - [i11]Nishant Malik, Peter J. Mucha:
Role of social environment and social clustering in spread of opinions in co-evolving networks. CoRR abs/1308.2015 (2013) - [i10]Ashton M. Verdery, Ted Mouw, Shawn Bauldry, Peter J. Mucha:
Network Structure and Biased Variance Estimation in Respondent Driven Sampling. CoRR abs/1309.5109 (2013) - 2012
- [i9]M. Puck Rombach, Mason A. Porter, James H. Fowler, Peter J. Mucha:
Core-Periphery Structure in Networks. CoRR abs/1202.2684 (2012) - [i8]Danielle S. Bassett, Mason A. Porter, Nicholas F. Wymbs, Scott T. Grafton, Jean M. Carlson, Peter J. Mucha:
Robust Detection of Dynamic Community Structure in Networks. CoRR abs/1206.4358 (2012) - [i7]Sergey Melnik, Mason A. Porter, Peter J. Mucha, James P. Gleeson:
Dynamics on Modular Networks with Heterogeneous Correlations. CoRR abs/1207.1809 (2012) - 2011
- [j7]Amanda L. Traud, Eric D. Kelsic, Peter J. Mucha, Mason A. Porter:
Comparing Community Structure to Characteristics in Online Collegiate Social Networks. SIAM Rev. 53(3): 526-543 (2011) - [i6]Amanda L. Traud, Peter J. Mucha, Mason A. Porter:
Social Structure of Facebook Networks. CoRR abs/1102.2166 (2011) - 2010
- [j6]Nipun Kwatra, Christopher Wojtan, Mark Carlson, Irfan A. Essa, Peter J. Mucha, Greg Turk:
Fluid Simulation with Articulated Bodies. IEEE Trans. Vis. Comput. Graph. 16(1): 70-80 (2010) - [j5]Florian Hecht, Peter J. Mucha, Greg Turk:
Virtual Rheoscopic Fluids. IEEE Trans. Vis. Comput. Graph. 16(1): 147-160 (2010) - [i5]Kevin T. Macon, Peter J. Mucha, Mason A. Porter:
Community Structure in the United Nations General Assembly. CoRR abs/1010.3757 (2010) - [i4]James P. Gleeson, Sergey Melnik, Jonathan A. Ward, Mason A. Porter, Peter J. Mucha:
How Accurate is Mean-Field Theory for Dynamics on Real-World Networks? CoRR abs/1011.3710 (2010)
2000 – 2009
- 2009
- [i3]Mason A. Porter, Jukka-Pekka Onnela, Peter J. Mucha:
Communities in Networks. CoRR abs/0902.3788 (2009) - 2007
- [j4]Christel Hohenegger, Peter J. Mucha:
Statistical Reconstruction of Velocity Profiles for Nanoparticle Image Velocimetry. SIAM J. Appl. Math. 68(1): 239-252 (2007) - [j3]Thomas Callaghan, Peter J. Mucha, Mason A. Porter:
Random Walker Ranking for NCAA Division I-A Football. Am. Math. Mon. 114(9): 761-777 (2007) - [c5]Christopher Wojtan, Mark Carlson, Peter J. Mucha, Greg Turk:
Animating Corrosion and Erosion. NPH 2007: 15-22 - 2006
- [c4]Christopher Wojtan, Peter J. Mucha, Greg Turk:
Keyframe control of complex particle systems using the adjoint method. Symposium on Computer Animation 2006: 15-23 - [i2]Mason A. Porter, Peter J. Mucha, M. E. J. Newman, Arthur J. Friend:
Community Structure in the United States House of Representatives. CoRR abs/physics/0602033 (2006) - 2005
- [j2]Huamin Wang, Peter J. Mucha, Greg Turk:
Water drops on surfaces. ACM Trans. Graph. 24(3): 921-929 (2005) - [c3]Nathan Bell, Yizhou Yu, Peter J. Mucha:
Particle-based simulation of granular materials. Symposium on Computer Animation 2005: 77-86 - [i1]Mason A. Porter, Peter J. Mucha, M. E. J. Newman, Casey M. Warmbrand:
A network analysis of committees in the United States House of Representatives. CoRR abs/nlin/0505043 (2005) - 2004
- [j1]Mark Carlson, Peter J. Mucha, Greg Turk:
Rigid fluid: animating the interplay between rigid bodies and fluid. ACM Trans. Graph. 23(3): 377-384 (2004) - 2003
- [c2]Marc Niethammer, Eric Pichon, Allen R. Tannenbaum, Peter J. Mucha:
A stokes flow boundary integral measurement of tubular structure cross sections in two dimensions. ICIP (1) 2003: 825-828 - 2002
- [c1]Mark Carlson, Peter J. Mucha, R. Brooks Van Horn III, Greg Turk:
Melting and flowing. Symposium on Computer Animation 2002: 167-174
Coauthor Index
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last updated on 2024-12-04 20:06 CET by the dblp team
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